An information processing apparatus includes a processor configured to convert the values of pixels in a glossy region of process target image data by inputting the process target image data to a first learning unit that has been trained using, as first learning data, first read image data and second read image data so as to convert the first read image data into the second read image data. The glossy region corresponds to a glossy portion of a document. The first read image data include the glossy region, and are obtained by optically reading the document in a first reading environment in which the light amount of regularly reflected light from a learning data document acquired by an image sensor is less than a regularly reflected light amount threshold. The second read image data include the glossy region, and are obtained by optically reading the document in a second reading environment in which the light amount of the regularly reflected light acquired by the image sensor is equal to or more than the regularly reflected light amount threshold. The process target image data are obtained by optically reading a process target document in the first reading environment.

According to the present disclosure, an image-processing apparatus acquires scan information of the read images read by the image-reading apparatus, generates temporal change data based on the statistical information and the scan information, determines whether the temporal change data satisfy a threshold, and outputs notice information when the temporal change data are determined as failing to satisfy the threshold.

A color verification optimization program causes a computer to execute a process including steps of, when a plurality of color conversion patterns are extracted, determining whether one color conversion profile and another color conversion profile coincide with or approximate to each other by comparing color saturation values which are estimated with respect to color conversion profiles, determining whether one color correction table and another color correction table coincide with or approximate to each other by comparing color saturation values which are estimated with respect to color correction tables, and performing control to perform verification on one color conversion pattern in two or more color conversion patterns of which the color conversion profiles and the color correction tables both coincide with or approximate to each other and omit the verification with respect to a remaining color conversion pattern.

An example of an apparatus is provided. The apparatus includes an input device to receive camera data. The camera data is associated with a printing device. The apparatus further includes an analysis engine to analyze the camera data with a convolutional neural network model to identify an issue. The apparatus also includes a resolution engine to determine a solution for the issue.

An image processing apparatus includes a decomposition unit configured to decompose a color image into at least two color component images, a first obtaining unit configured to obtain a skewness of a histogram corresponding to each of the color component images, and a determination unit configured to determine based on the obtained skewnesses associated with the color component images whether the color image is glossy.

There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.

Provided are image inspection method and apparatus, and an ink jet printing apparatus that can highly accurately detect a stripe defect. An inspection image obtained by an imaging device imaging a printed matter printed by an ink jet printing apparatus including a line head is acquired. Each of at least one non-scanning direction linear structural element that is a linear structural element in a direction not parallel to a direction of scanning by the line head relative to a medium is used to execute morphology processing of a grayscale image to thereby smooth the inspection image to create a first smoothed inspection image (S22, S24). A stripe defect extending in the scanning direction is detected by using at least (1) one of the inspection image and a second smoothed inspection image created based on the inspection image and (2) the first smoothed inspection image.

An image forming system includes: an image forming apparatus including an image forming unit for forming an image on a sheet, an image reading unit for reading a sheet surface and generating a scan image, an image inspection unit for detecting abnormalities within the scan image, and a history generating unit for generating detection information of each of the abnormalities and generating a history image by embedding the detection information in the scan image; a storage device for storing the history image; and a user terminal for displaying an abnormality detection result and inputting a user's evaluation of the abnormality detection result, wherein the image forming apparatus further includes a parameter setting unit for finally determining the abnormalities depending on the user's evaluation, and determining and setting abnormality detection parameters such that the abnormalities finally determined are detected, and the abnormalities not finally determined are not detected.

An image processing apparatus for converting color data into gray data extracts an object included in the color data in a page, and determines, based on color information and position information on a first object and a second object extracted, whether at least one of the first object and the second object is to be a target of conversion of a color value of the color data into a gray value with improved discriminability. The image processing apparatus controls to convert the color value of the object into a gray value by a conversion targeting all color values, or into a gray value with the improved discriminability, based on the determination whether or not to be the target of conversion.

An image forming device is provided, including a generation part, a determination part and a printing part. The generation part generates a plurality of types of binarized image data with respect to original image data. The determination part determines the binarized image data, in which an error between each of the plurality of the types of the binarized image data and the original image data is smaller, among the plurality of the types of the binarized image data. The printing part prints the binarized image data determined by the determination part on a medium.